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Minimax Rates and Efficient Algorithms for Noisy Sorting

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Publication:4617642
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zbMath1407.62066arXiv1710.10388MaRDI QIDQ4617642

Jonathan Weed, Cheng Mao, Philippe Rigollet

Publication date: 6 February 2019

Full work available at URL: https://arxiv.org/abs/1710.10388


zbMATH Keywords

permutationsrankingminimax estimationpairwise comparisonsnoisy sorting


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Statistical ranking and selection procedures (62F07) Paired and multiple comparisons; multiple testing (62J15)


Related Items (10)

Iterative algorithm for discrete structure recovery ⋮ Optimal full ranking from pairwise comparisons ⋮ Optimal rates for estimation of two-dimensional totally positive distributions ⋮ Optimal permutation estimation in crowdsourcing problems ⋮ Worst-case versus average-case design for estimation from partial pairwise comparisons ⋮ External-memory sorting with comparison errors ⋮ Estimation of Monge matrices ⋮ Towards optimal estimation of bivariate isotonic matrices with unknown permutations ⋮ Optimal detection of the feature matching map in presence of noise and outliers ⋮ Asymptotically Optimal Sequential Design for Rank Aggregation




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